Main advantages of the platform

Setting up processes for gathering data from distributed organizational structures and aligning them

Solving the tasks of several company divisions within a single platform

Browser-based operation without the need to install any additional software

Data and structure versioning; flexible indicator storage system

Customizing the platform
without additional programming

High performance and scalability of the solutions

Hypothesis testing
and causality detection by means of multivariate data analysis

The system has a three-tier architecture (web client, application server, DBMS). The platform is characterized by a separate in-memory DB developed in-house.
The application server is written in Python. The client part is based on JavaScript. The interface is optimized for mobile devices. Web analytics dashboards can be packaged into a solution for any mobile OS.

Use advanced tech

Custom

Interactive presentations
in your corporate style

The basic toolkit allows users to create presentations with real-time reporting and any level of data drill-down during the demonstration.

Rapid multi-dimensional
indicator analysis

The platform supports multi-dimensional indicator analysis via OLAP reports without the need for prebuilding cubes.

Information auditability

The platform supports full versioning (data and metadata changes, calculation and aggregation). Retrospection makes it possible to view system objects as they were in any moment in the past.

Functional

Calculations with regard
to changing indicators

The system performs calculations based on the indicators using predefined formulas. The calculations account for the adjustments to the indicators made manually by users.

Cross-platform

The system is implemented as a scalable web application. Users can access all the functions and resources of the system through a web interface.

Repetitive data
input avoiding

Entered once, the indicator value is displayed across all data entry and display forms where the indicator is present.

Artificial Intelligence

Methods to detect and prevent atypical changes in the data are being developed.

Technical

Open-source
software used

The use of open-source software provides for high availability and reliability of the system and low cost of ownership.

Network
data model

Flexible data storage model based on mathematical theory of directed graphs allows for performing complex calculations, rolling back to the original values of the indicators and quick building of OLAP reports.

Configure solutions
without additional programming

The platform is a set of designers. Directories, subject area, data integration, dashboards, forms, and reports are created in the platform's designers by generating new objects and defining their parameters.

Distributed
data storage

The system can be deployed both in a centralized and distributed configuration.

Flexible data structure

Data are stored as an array of indicator values with an unlimited number of analytical attributes. It is possible to select indicators with value types "directory", "hierarchical directory" and "period" as analytical attributes.

Integration

The platform uses XML API to exchange data with external systems via REST technology, as well as web services for data import/export via SOAP protocol. Working with BigData.